CRAN/E | maxLik

maxLik

Maximum Likelihood Estimation and Related Tools

Installation

About

Functions for Maximum Likelihood (ML) estimation, non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the Maximum Likelihood viewpoint. It also includes a number of convenience tools for testing and developing your own models.

Citation maxLik citation info

Key Metrics

Version 1.5-2.1
R ≥ 2.4.0
Published 2024-03-24 32 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks maxLik results

Downloads

Yesterday 1.251 0%
Last 7 days 5.896 -30%
Last 30 days 30.024 +17%
Last 90 days 74.131 -27%
Last 365 days 449.543 -39%

Maintainer

Maintainer

Ott Toomet

otoomet@gmail.com

Authors

Ott Toomet

aut / cre

Arne Henningsen

aut

Spencer Graves

ctb

Yves Croissant

ctb

David Hugh-Jones

ctb

Luca Scrucca

ctb

Material

NEWS
Reference manual
Package source

In Views

Optimization

Vignettes

Introduction: what is maximum likelihood
SGA introduction: the basic usage of maxSGA
Maximum likelihood estimation with maxLik

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

maxLik archive

Depends

R ≥ 2.4.0
miscTools ≥ 0.6-8
methods

Imports

sandwich
generics

Suggests

MASS
clue
dlm
plot3D
tibble
tinytest

Reverse Depends

censReg
gmnl
hermite
lmmot
mlogitBMA
mvProbit
oglmx
pglm
PrevMap
Rchoice
rumidas
sampleSelection
ssfa
truncreg

Reverse Imports

afdx
AGPRIS
apollo
autostsm
biodosetools
BLOQ
countDM
dccmidas
DEsingle
DirichletReg
DWreg
emhawkes
endogeneity
endoSwitch
fastR2
fitteR
GenMarkov
good
lboxcox
metaSDTreg
mfGARCH
mhurdle
mixl
nhm
ohenery
paramlink
plm
predkmeans
rDEA
sensmediation
sfaR
sigInt
spldv
splm
Surrogate
ui

Reverse Suggests

cmtest
coefplot
CollocInfer
FuzzyClass
kalmanfilter
kimfilter
micEconCES
ssmodels
surveillance
urbin

Reverse Enhances

texreg